Evidence map›Paper›PMID 34690130›Full record

ArticleClinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology2021

Korean Medication Algorithm for Depressive Disorder 2021, Fourth Revision: An Executive Summary.

Jeong Seok Seo, Won-Myong Bahk, Young Sup Woo, Young-Min Park, Won Kim, Jong-Hyun Jeong, Se-Hoon Shim, Jung Goo Lee, Seung-Ho Jang, Chan-Mo Yang and 8 more

Open access · diamondAbstract read
In one paragraph

Article in Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.3field-weighted citation impact, top 20% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 14 citations in OpenAlex.

  1. Trial
  2. Observational
  3. Korean Medication Algorithm Project for Depressive Disorder 2025: Comparisons with Other Treatment Guidelines.Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2026
    Review
  4. Article
  5. Korean Medication Algorithm for Depressive Disorder 2025, Fifth Revision: An Executive Summary.Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2025
    Article
  6. Article
  7. Observational
  8. Korean Medication Algorithm Project for Bipolar Disorder 2022: Comparisons with Other Treatment Guidelines.Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2023
    Review
  9. Article
  10. Article
  11. Korean Medication Algorithm Project for Bipolar Disorder 2022, Fifth Revision: An Executive Summary.Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2022
    Article
  12. The Korean Medication Algorithm Project for Depressive Disorder 2021: Comparisons with Other Treatment Guidelines.Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2022
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors at 11 institutions in 1 country.

Jeong Seok SeoDepartment of Psychiatry, College of Medicine, Chung-Ang University, Seoul, Korea.ORCID https://orcid.org/0000-0002-4880-3684
Won-Myong BahkDepartment of Psychiatry, College of Medicine, The Catholic University of Korea, Seoul, Korea.ORCID https://orcid.org/0000-0002-0156-2510
Young Sup WooDepartment of Psychiatry, College of Medicine, The Catholic University of Korea, Seoul, Korea.ORCID https://orcid.org/0000-0002-0961-838X
Young-Min ParkDepartment of Psychiatry, Ilsan Paik Hospital, Inje University College of Medicine, Goyang, Korea.ORCID https://orcid.org/0000-0002-4993-1426
Won KimDepartment of Psychiatry, Sanggye Paik Hospital, Inje University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-5478-7350
Jong-Hyun JeongDepartment of Psychiatry, College of Medicine, The Catholic University of Korea, Seoul, Korea.ORCID https://orcid.org/0000-0003-3570-7607
Se-Hoon ShimDepartment of Psychiatry, Soonchunhyang University Cheonan Hospital, College of Medicine, Soonchunhyang University, Cheonan, Korea.ORCID https://orcid.org/0000-0002-3137-6591
Jung Goo LeeDepartment of Psychiatry, Haeundae Paik Hospital, Inje University College of Medicine, Busan, Korea.ORCID https://orcid.org/0000-0003-3393-2667
Seung-Ho JangDepartment of Psychiatry, Wonkwang University Hospital, School of Medicine, Wonkwang University, Iksan, Korea.ORCID https://orcid.org/0000-0002-3479-0552
Chan-Mo YangDepartment of Psychiatry, Wonkwang University Hospital, School of Medicine, Wonkwang University, Iksan, Korea.ORCID https://orcid.org/0000-0002-4959-7595
Sheng-Min WangDepartment of Psychiatry, College of Medicine, The Catholic University of Korea, Seoul, Korea.ORCID https://orcid.org/0000-0003-2521-1413
Myung Hun JungDepartment of Psychiatry, Hallym University Sacred Heart Hospital, Hallym University College of Medicine, Anyang, Korea.ORCID https://orcid.org/0000-0003-2393-3930
Hyung Mo SungDepartment of Psychiatry, Soonchunhyang University Gumi Hospital, College of Medicine, Soonchunhyang University, Gumi, Korea.ORCID https://orcid.org/0000-0002-2396-3358
Il Han ChooDepartment of Neuropsychiatry, College of Medicine, Chosun University, Gwangju, Korea.ORCID https://orcid.org/0000-0001-6547-9735
Bo-Hyun YoonDepartment of Psychiatry, Naju National Hospital, Naju, Korea.ORCID https://orcid.org/0000-0002-3882-7930
Sang-Yeol LeeDepartment of Psychiatry, Wonkwang University Hospital, School of Medicine, Wonkwang University, Iksan, Korea.ORCID https://orcid.org/0000-0003-1828-9992
Duk-In JonDepartment of Psychiatry, Hallym University Sacred Heart Hospital, Hallym University College of Medicine, Anyang, Korea.ORCID https://orcid.org/0000-0002-1565-7940
Kyung Joon MinDepartment of Psychiatry, College of Medicine, Chung-Ang University, Seoul, Korea.ORCID https://orcid.org/0000-0001-7037-8904
Catholic University of Korea · KRWonkwang University · KRChung-Ang University · KRHallym University Sacred Heart Hospital · KRChosun University · KRInje University Haeundae Paik Hospital · KRInje University Ilsan Paik Hospital · KRInje University Sanggye Paik Hospital · KRNaju National Hospital · KRSoonchunhyang University · KRSoonchunhyang University Hospital Seoul · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveIn the 19 years since the Korean College of Neuropsychopharmacology and the Korean Society for Affective Disorders developed the Korean Medication Algorithm Project for Depressive Disorder (KMAP-DD) in 2002, four revisions have been conducted.

methodsTo increase survey efficiency in this revision, to cover the general clinical practice, and to compare the results with previous KMAP-DD series, the overall structure of the questionnaire was maintained. The six sections of the questionnaire were as follows: 1) pharmacological treatment strategies for major depressive disorder (MDD) with/without psychotic features; 2) pharmacological treatment strategies for persistent depressive disorder and other depressive disorder subtypes; 3) consensus for treatment-resistant depression; 4) the choice of an antidepressant in the context of safety, adverse effects, and comorbid physical illnesses; 5) treatment strategies for special populations (children/adolescents, elderly, and women); and 6) non-pharmacological biological therapies. Recommended first-, second-, and third-line strategies were derived statistically.

resultsThere has been little change in the four years since KMAP-DD 2017 due to the lack of newly introduced drug or treatment strategies. However, shortened waiting time between the initial and subsequent treatments, increased preference for atypical antipsychotics (AAPs), especially aripiprazole, and combination strategies with AAPs yield an active and somewhat aggressive treatment trend in Korea.

conclusionWe expect KMAP-DD to provide clinicians with useful information about the specific strategies and medications appropriate for treating patients with MDD by bridging the gap between clinical real practice and the evidence-based world.

Indexed as

AlgorithmDepressive disorderGuidelinePharmacotherapy

Identifiers

PMID34690130
PMCPMC8553538
OpenAlexW3209414877

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.